Department of Orthopaedics, The Central Hospital of Songjiang, Shanghai 201600, P.R. China.
Department of Orthopaedics, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai 201700, P.R. China.
Mol Med Rep. 2018 Mar;17(3):3465-3472. doi: 10.3892/mmr.2017.8322. Epub 2017 Dec 20.
The aim of the present study was to reveal the potential hub genes and regulatory mechanisms associated with senescence in human annulus cells by analyzing microarray data using bioinformatics. The gene expression dataset GSE17077, of senescent and non‑senescent annulus cells obtained from patients with disc degenerative diseases (DDD), was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified. Functional and pathway annotations were performed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes terms, respectively. Web‑based Gene Set Analysis Toolkit and Chip Enrichment Analysis were used to identify key transcription factors (TFs). A protein‑protein interaction (PPI) network was constructed to analyze the hub genes associated with senescence in DDD. A total of 667 DEGs were screened, including 368 up‑ and 299 down‑regulated genes. These DEGs were enriched in phosphorylation, regulation of apoptosis and regulation of programmed cell death. In addition, DEGs were involved in axon guidance, natural killer cell‑mediated cytotoxicity, purine metabolism and the mitogen‑activated protein kinase (MAPK) signaling pathway. The TFs activator protein 1 (AP1), specificity protein 1 and aryl hydrocarbon receptor may serve regulatory roles in gene expression in senescent cells. Certain key target genes of TFs, including heat shock protein 90 (HSP90) and C‑X‑C motif chemokine 5 (CXCL5), within the DEGs were revealed to have a high connectivity degree by PPI analysis. The results of the present study indicated that the MAPK‑regulated AP1 pathway may contribute to senescence‑associated disc degeneration. The DEGs, including HSP90 and CXCL5, with a high degree of connectivity may be potential targets for future investigations into molecular biomarkers.
本研究旨在通过生物信息学分析,利用微阵列数据分析揭示与人类纤维环细胞衰老相关的潜在枢纽基因和调控机制。从基因表达综合数据库中下载基因表达数据集 GSE17077,该数据集包含来自椎间盘退行性疾病(DDD)患者的衰老和非衰老纤维环细胞,鉴定差异表达基因(DEGs)。使用基因本体论和京都基因与基因组百科全书术语分别进行功能和途径注释。使用基于网络的基因集分析工具包和芯片富集分析来鉴定关键转录因子(TFs)。构建蛋白质-蛋白质相互作用(PPI)网络,以分析与 DDD 相关的衰老的关键基因。筛选出 667 个 DEGs,包括 368 个上调和 299 个下调基因。这些 DEGs 富集于磷酸化、细胞凋亡调节和程序性细胞死亡调节。此外,DEGs 还参与了轴突导向、自然杀伤细胞介导的细胞毒性、嘌呤代谢和丝裂原激活蛋白激酶(MAPK)信号通路。转录因子激活蛋白 1(AP1)、特异性蛋白 1 和芳香烃受体可能在衰老细胞的基因表达中发挥调节作用。TFs 的某些关键靶基因,包括热休克蛋白 90(HSP90)和 C-X-C 基序趋化因子 5(CXCL5),通过 PPI 分析显示出较高的连接度。本研究结果表明,MAPK 调节的 AP1 通路可能导致与衰老相关的椎间盘退变。具有高连接度的 HSP90 和 CXCL5 等 DEGs 可能是未来分子生物标志物研究的潜在靶点。